More precisely, this is a plot of adjust(Re(tet)), where the
adjust function is defined by adjust(x) = log(log(abs(x)+1)+1).
The double log is because the values of the tet vary wildly.
In the image, blue indicates Re(tet) near zero, and red
indicates Re(tet) extremely large in absolute value.

And here is adjust(|tet|), where |-| is the complex norm:

Here we zoom in on the first quadrant of the above two images.
If you make your window wide enough, you can see them side-by-side.

These images were produced using python, matplotlib and
the spinnet library developed by Igor Khavkine and Dan Christensen.